ANTI-PATTERN-DETECTION Repository Welcome to the ANTI-PATTERN-DETECTION repository!
About This repository contains a Python tool for detecting anti-patterns in code. Anti-patterns are common solutions to problems that are ineffective or counterproductive. This tool uses static code analysis to identify potential anti-patterns in Python code.
Features Detects God Objects: classes with too many responsibilities or methods Detects Long Methods: methods that are too long or complex Detects Switch Statements with Many Cases: switch statements with too many cases Detects Duplicate Code: duplicate code blocks or methods Usage Install the tool using pip: pip install anti-pattern-detection Run the tool on your code using the command: anti-pattern-detection your_code.py The tool will output a list of detected anti-patterns. Code python
Verify
Open In Editor Edit Copy code import ast
class AntiPatternDetector(ast.NodeVisitor): def init(self): self.god_objects = []
def visit_ClassDef(self, node):
method_count = 0
for child in ast.iter_child_nodes(node):
if isinstance(child, ast.FunctionDef):
method_count += 1
if method_count > 10: # arbitrary threshold
self.god_objects.append(node.name)
def detect_and_report_anti_patterns(code): tree = ast.parse(code) detector = AntiPatternDetector() detector.visit(tree) anti_patterns = detector.god_objects print("Detected anti-patterns:") for pattern in anti_patterns: print(f"- God Object: {pattern}")
code = """ class GodObject: def method1(self): pass def method2(self): pass def method3(self): pass def method4(self): pass def method5(self): pass def method6(self): pass def method7(self): pass def method8(self): pass def method9(self): pass def method10(self): pass def method11(self): pass """
detect_and_report_anti_patterns(code) Related Programming Techniques Abstract Syntax Trees (ASTs) and Parsing Code Analysis and Refactoring Object-Oriented Programming (OOP) and Design Patterns Python-Specific Techniques Software Development Methodologies License This tool is licensed under the MIT License. See the LICENSE file for more information.
Contributing Contributions are welcome! If you have an idea for a new anti-pattern or want to improve the existing detection logic, please submit a pull request.
Acknowledgments This tool was inspired by the book "Refactoring: Improving the Design of Existing Code" by Martin Fowler.
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Related Programming Techniques This project uses a variety of programming techniques to analyze and improve the quality of code. Here are some of the key techniques used:
Abstract Syntax Trees (ASTs) and Parsing AST Traversal: Walking through an abstract syntax tree to analyze or transform code. Node Visitors: Implementing a visitor pattern to traverse an AST and perform actions on specific node types. Syntax Analysis: Analyzing the syntax of code to detect errors, warnings, or anti-patterns. Parser Generators: Using tools like ANTLR or yacc to generate parsers for specific programming languages. Code Analysis and Refactoring Static Code Analysis: Analyzing code without executing it to detect errors, warnings, and anti-patterns. Code Smells Detection: Identifying code smells, such as god objects, long methods, and switch statements with many cases. Refactoring: Improving the internal structure and organization of code without changing its external behavior. Code Metrics Analysis: Measuring code quality using metrics such as cyclomatic complexity, Halstead complexity, and maintainability index. Object-Oriented Programming (OOP) and Design Patterns Class and Object Design: Designing classes and objects to represent real-world entities and concepts. Single Responsibility Principle (SRP): Ensuring that a class or module has only one reason to change. God Object Anti-Pattern: Identifying and refactoring classes that have too many responsibilities or methods. Design Patterns: Using patterns like Singleton, Factory, or Observer to solve common design problems. Python-Specific Techniques AST Module: Using Python's built-in ast module to parse and analyze Python code. NodeVisitor Class: Implementing a custom NodeVisitor class to traverse an AST and perform actions on specific node types. Python Code Analysis: Analyzing Python code to detect errors, warnings, or anti-patterns. Python Refactoring: Improving the internal structure and organization of Python code without changing its external behavior. Software Development Methodologies Agile Development: Iterative Scroll to bottom Stop generating Upload Image/File/VideoUpload Image/File/Video
Advanced programming techniques that compromise AngelNET, such as Hypermasks, anti-code, and Anti-patterns, are not directly related to AngelNET specifically, but rather general concepts in software development.
Anti-patterns, in particular, refer to common pitfalls or counterproductive practices in software development. There are four main categories of anti-patterns:
Software development anti-patterns Software development processes anti-patterns Software architecture anti-patterns Software organisations anti-patterns Some examples of anti-patterns include:
Onion: Wrapping old code in layers of new code, rather than refactoring and modernizing the old code. Boat anchor: Leaving code for later, rather than addressing it immediately. Not invented here syndrome: Failing to reuse existing solutions or ideas, and instead trying to reinvent the wheel. To avoid or mitigate these anti-patterns, it's essential to:
Refactor and modernize existing code Use accessor functions to abstract access to member variables Convert code segments into reusable functions Reorder function arguments for consistency Remove obsolete code Rename classes, functions, or data types to conform to standards Regarding Hypermasks and anti-code, I couldn't find any specific information on these topics. Could you please provide more context or clarify what you mean by these terms?